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ARS Home » Southeast Area » Florence, South Carolina » Coastal Plain Soil, Water and Plant Conservation Research » Research » Publications at this Location » Publication #245400

Title: Evaluation of amendments to decrease high strength in southeastern USA Coastal Plain soils using fuzzy multi-attributive comparison of alternatives

Author
item Busscher, Warren
item KRUEGER, ELENA - Agro Research Institute Of Russia
item Novak, Jeffrey
item KURTENER, DMITRY - Agro Research Institute Of Russia

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 1/23/2010
Publication Date: 11/15/2010
Citation: Busscher, W.J., Krueger, E., Novak, J.M., Kurtener, D. 2010. Evaluation of amendments to decrease high strength in southeastern USA Coastal Plain soils using fuzzy multi-attributive comparison of alternatives. In: Kurtener, D.A., Yakushev, V.P., Torbert, H.A., Prior, S.A. and Krueger, E.D., editors. Applications of Soft Computing in Agricultural Field Experimentations. Saint Petersburg, Russia:Agrophysical Research Institute. p. 38-44.

Interpretive Summary:

Technical Abstract: Productivity of many southeastern USA Coastal Plain soils is reduced by cemented subsurface layers that restrict root growth. Though tillage is the usual way to reduce cementation, if soil amendments can develop aggregation, they offer a more permanent solution. To improve soil physical properties and make it more amenable to root growth, we mixed wheat (Triticum aestivum L.) residue and polyacrylamide (PAM, 12 megagram per mole molecules, anionic, and 35% charge density) amendments into a Norfolk soil blend of 90% E horizon (the hard layer) and 10% Ap horizon. Amendments of 0 or 6.44 grams per kilogram ground wheat stubble and 0, 30, or 120 parts per million of PAM were added to 450 grams of soil and incubated for 60 days. Data were analyzed using the tool for fuzzy multi attributive comparison of alternatives. It is shown that the best treatment is the variant of soil amendments characterized by addition of wheat with 30 parts per million PAM. When both physical and economic parameters were included in the analyses, the treatment option with wheat and 120 parts per million PAM was best with wheat and 30 parts per million PAM as second best.